{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["attacker", "damage amount", "tool", "time", "trusted entity", "attack pattern", "purpose", "victim", "place"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerable system", "time", "vulnerable system owner", "common vulnerabilities and exposures", "supported platform", "vulnerable system version"]}, {"event_type": "data breach", "trigger": true, "arguments": ["time", "attacker", "number of victim", "victim", "attack pattern", "compromised data", "tool", "damage amount", "place", "purpose"]}], "input": "“ A link directs customers to a fake version of the official TV Licensing website which asks them to enter personal information and bank details ."}
{"phishing": [{"trigger": "directs", "arguments": {"attacker": "NAN", "damage amount": "NAN", "tool": ["a fake version of the official TV Licensing website", "A link"], "time": "NAN", "trusted entity": "NAN", "attack pattern": "NAN", "purpose": "enter personal information and bank details", "victim": "customers", "place": "NAN"}}], "discover vulnerability": [], "data breach": []}